Method of estimating perceived video quality for mobile multimedia application based on full reference framework

Osamu Sugimoto; Shigeyuki Sakazawa; Atsushi Koike

doi:10.1117/12.707560

29 January 2007 Method of estimating perceived video quality for mobile multimedia application based on full reference framework

Osamu Sugimoto, Shigeyuki Sakazawa, Atsushi Koike

Author Affiliations +

Proceedings Volume 6494, Image Quality and System Performance IV; 649409 (2007) https://doi.org/10.1117/12.707560
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

Abstract

The authors study a method of estimating perceived picture quality for multimedia applications based on the full reference framework. Since multimedia applications usually have less capability in display and communication channels than television broadcasting, an objective quality model should be developed considering a low-resolution, low-framerate video format and low-bit-rate video coding that applies a high compression ratio. The proposed method therefore applies the blockiness of the picture, time variance of MSE and temporal PSNR degradation as indices of objective picture quality. Computer simulation shows that the proposed method can estimate perceived picture quality at a correlation coefficient of above 0.94.

Citation Download Citation

Osamu Sugimoto, Shigeyuki Sakazawa, and Atsushi Koike "Method of estimating perceived video quality for mobile multimedia application based on full reference framework", Proc. SPIE 6494, Image Quality and System Performance IV, 649409 (29 January 2007); https://doi.org/10.1117/12.707560

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available